Paper Title:
A Two-Stage Optimization Method for the Stencil Printing Process Based on Neural Network and Response Surface Method
  Abstract

A stencil printing process (SPP) optimization problem is studied in this paper. Due to the limitation that neural network requires a large number of samples for the accurate model fitting, a two-stage SPP optimization method is proposed. The design interval can be reduced with small sample by using neural network. In this reduced design interval , response surface method is adopted to obtain the accurate mathematical SPP model. The concept of confidence level is introduced to make the proposed model robust. An interactive method is used to solve the model. The proposed method is compared with the one-stage optimization method and the results show that the proposed method achieves a better performance on each objective.

  Info
Periodical
Advanced Materials Research (Volumes 156-157)
Edited by
Jingtao Han, Zhengyi Jiang and Sihai Jiao
Pages
10-17
DOI
10.4028/www.scientific.net/AMR.156-157.10
Citation
E. S. Pan, Y. Jin, Z. Mei, Y. Wang, "A Two-Stage Optimization Method for the Stencil Printing Process Based on Neural Network and Response Surface Method", Advanced Materials Research, Vols. 156-157, pp. 10-17, 2011
Online since
October 2010
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Yong Xian Li, Bin Wang, Guang Ping Peng
Abstract:A new intelligent orthogonal optimization algorithm for robust design is proposed in order to improve accuracy and efficiency. The next...
301
Authors: Sheng Zhang, Zhao Hua Wu, Hong Yan Huang, Pin Chen, Tang Wen Bi
Abstract:In the thermal design of Embedded Power Chip Microwave Modules, the placement of chips on substrate has a significant effect on internal...
639
Authors: Bing Kun Zhu, Li Hong Xu, Hai Gen Hu
Abstract:Multi-objective optimization is a challenging research topic because it involves the simultaneous optimization of several complex and...
818
Authors: Xin Jin, Gang Sun, Chun Juan Liu
Abstract:This document focuses on the case that optimization direction is hard to determine in aerodynamic optimization processes, and proposes an...
1421
Authors: Tian Zhong Sui, Lei Wang, Dong Mei Cheng, Hong Wen Cui
Abstract:In this paper, a multi-objective parameter optimization model based on experimental design and NN-GA is established. In this method,...
12